Glasgow Terminal Car Bombing

O n Saturday, June 28, 2007, at 3:15PM,
a blazing on-fire Jeep Cherokee sports utility vehicle driving at full speed slammed
into the main entrance of Glasgow airport's main terminal building.
The car shattered the glass doors and was
stopped within meters of where holidaymakers were lined up at check-in counters.

The driver of the jeep was
Kafeel Ahmed, 27, an Indian engineer who is suspected of being the bomb maker.
After the jeep failed to get fully into the main terminal, he doused himself with gasoline
and put himself on fire and while his clothes were burning tried to ignite a greater
fire or explosion. The police sprayed him with fire extinguisher.
With his clothes burned off Ahmed fought with the police.
They subdued and arrested him.

Ahmed had been living in Houston in Renfrewshire with his passenger Dr. Bilal Abdullah,
27, a physican, who was born in Aylesbury but brought up in Iraq and worked at the
Royal Alexandra Hospital in Paisley. This hospital serves the greater Glasgow community.
Abdullah was also arrested.

We chose for our key words Glasgow, Doctor or Doctors,
Terror or The Terror,
Attack, Al Qaeda or The Qaeda, and the month of Tammuz,
which is the Hebrew month in which the June 28, 2007 attack occurred.
The selection of these key words is a priori .
We explore, not quite systematically, groups of three key words at a time, with one of the key
words required to be Glasgow. We show the significant tables.

The first table we explore is with the key words Glasgow,
Doctor, and Attack. With the expected number of ELSs set to 30, the
probability that a text from the ELS random placement
text population would have as compact an area table as that produced by the Torah text is
47.5/1000.

The expected number of ELSs is set to 30.
The cylinder size is 6963 columns. The probability that a text from the ELS random placement text population
would produce as small a table as this is 47.5/1,000.

Finding by Professor Haralick

The second table we explore is also with the key words Glasgow,
Doctor, and Attack. However, here Glasgow is spelled
גלזגו, with the א
omitted. With the expected number of ELSs set to 30, the
probability that a text from the ELS random placement
text population would have as compact an area table as that produced by the Torah text is
78.5/1000.

The expected number of ELSs is set to 30.
The cylinder size is 21800 columns. The probability that a text from the ELS random placement text population
would produce as small a table as this is 78.5/1,000.

Finding by Professor Haralick

The third table we explore is with the key words Glasgow, Terror, and Tammuz.
With the expected number of ELSs set to 10, the
probability that a text from the ELS random placement
text population would have as compact an area table as that produced by the Torah text is
60.5/1000.

The expected number of ELSs is set to 10.
The cylinder size is 1680 columns. The probability that a text from the ELS random placement text population
would produce as small a table as this is 60.5/1,000.

Finding by Professor Haralick

The fourth table we explore is with the key words Glasgow, Attack, and
Tammuz. With the expected number of ELSs set to 20, the
probability that a text from the ELS random placement
text population would have as compact an area table as that produced by the Torah text is
208/1000, certainly not statistically significant. But we show this because we did the experiment and
as well the following tables
are closely related to this table.

The expected number of ELSs is set to 20.
The cylinder size is 870 columns. The probability that a text from the ELS random placement text population
would produce as small a table as this is 208/1,000.

Finding by Professor Haralick

The fifth table we explore is with the key word Glasgow, Attack,
and Tammuz. With the expected number of ELSs set to
30, the probability that a text from the ELS random placement text population would have as compact
an area table as the one produced by the Torah text is 206.5/1,000. The location of this table
is the same location as the previous table.

The expected number of ELSs is set to 30.
The cylinder size is 870 columns. The probability that a text from the ELS random placement text population
would produce as small a table as this is 206.5/1,000.

Finding by Professor Haralick

The sixth table we explore is with the key word Glasgow, Attack,
and Doctor. With the expected number of ELSs set to
30, the probability that a text from the ELS random placement text population would have as compact
an area table as the one produced by the Torah text is 199/1,000. The location of this table
is the same location as the previous two tables.

The expected number of ELSs is set to 30.
The cylinder size is 870 columns. The probability that a text from the ELS random placement text population
would produce as small a table as this is 199/1,000.

Finding by Professor Haralick

The previous three tables were all located in the same place. So we put together one table that
has all the key words of the previous three tables. We find in the combined table some additional
ELSs of key words Terror and Bomb.